class_docstr: Dataset of Reddit comments with one or more emotion labels.
docstr: Returns information on the GoEmotions dataset.
docstr_tok: ["Returns","information","on","the","GoEmotions","dataset","."]
code: def _info(self):
      """Returns information on the GoEmotions dataset."""
      features = {_TEXT_LABEL: tfds.features.Text()}
  
      for label in _EMOTION_LABELS:
          features[label] = tf.bool
  
      return tfds.core.DatasetInfo(
          builder=self,
          description=_DESCRIPTION,
          features=tfds.features.FeaturesDict(features),
          # Each emotion can be used for single-label classification.
          supervised_keys=None,
          homepage="https://github.com/google-research/google-research/tree/master/goemotions",
          citation=_CITATION,
      )
  
file_path: datasets/tensorflow_datasets/text/goemotions.py
imports: import csv
  from etils import epath
  from tensorflow_datasets.core.utils.lazy_imports_utils import tensorflow
  import tensorflow_datasets.public_api
label_desc: Use image node_id 1 for calling the Goemotions obj's underlying member method code with example usage: obj._info() and returns: tfds